Senior Engineering Manager

🕒 September 10

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Human Signal

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2003

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Human Signal is a company that specializes in providing a data labeling platform known as Label Studio Enterprise. This platform is designed for automating and refining the data labeling process, integrating capabilities such as natural language processing (NLP) autolabeling, security, quality control, and compliance features. Human Signal focuses on preparing training data, fine-tuning large language models, and evaluating model performance for data science and machine learning teams. They offer a robust API and customizable workflows to optimize the entire AI development lifecycle across various use cases, including legal, medical, and retail sectors. The platform emphasizes secure data handling, being SOC2 certified and HIPAA compliant, ensuring data privacy and integrity.

📋 Description

• Directly manage the engineering team through 1:1s, feedback, performance management, promotions, and difficult conversations • Own delivery by planning, scoping, and shipping quality software against a roadmap • Shape product priorities, commitments, and team practices • Help engineers improve scoping, estimating, decision-making, and outcome ownership • Continue writing and shipping code to support technical decisions and difficult problem-solving • Evaluate coding agents, demonstrate effective use, and help the team apply them • Challenge architectural decisions, explain tradeoffs, and guide maintainable approaches • Hire, set expectations, provide feedback, support growth, manage promotions, and conduct exits when necessary • Remove friction, address recurring blockers, and improve AI tooling practices • Stay close to code and architecture without becoming an approval bottleneck • Lead engineering responses to customer, services-team, and open-source escalations • Involve the right people, make priority calls, and address recurring causes • Turn managed-services experience into better products rather than one-off customer fixes

🎯 Requirements

• At least a couple of years managing engineers • Experience hiring and developing people, addressing underperformance directly, and making difficult people decisions • Prior experience as a strong engineer with sound technical judgment • Ability to reason about architecture and tradeoffs beyond personal code • Continues to build software and enjoys it • Serious, effective use of coding agents, with examples • Experience shipping at a startup and making decisions with incomplete information • Ability to give specific feedback and address issues directly • Ability to balance long-term product work with customer deadlines and negotiate realistic commitments • Nice to have: experience with ML tooling, data platforms, or evaluation systems • Nice to have: experience managing a distributed team • Nice to have: frontend architecture depth